Beitrag von Darius Menzi, Juni 2025

The 10 Most Common Data Backup Mistakes and How to Avoid Them

Data loss can be devastating - both for businesses and individuals. Despite the growing threat of cyber attacks and system failures, we continue to see avoidable mistakes in data backup. In the following blog post, we highlight the most common pitfalls, offer concrete solutions, and explain how you can optimally protect your data.

1. No Regular Backup Schedule

Companies that perform their backups irregularly or not at all. Backup setup often comes too late, usually only after data loss has already occurred.

Practical example: An SME loses three months of accounting data due to hardware failure because the last backup was created manually and only once per quarter.

Solution:

  • Automate backups including a fixed schedule.
  • Choose backup intervals that match the importance of your data: Critical data daily, less important data weekly.
  • Use professional backup software to ensure the consistency of your backups.

2. Storing Backups Only Locally

Data is saved exclusively on local hard drives or servers. A fire, theft, or hardware failure can destroy all copies.

Practical example: An architecture firm suffers data loss across all project data because both work equipment and local backup were destroyed by water damage.

Solution:

  • Look at the 3-2-1 rule: Three copies of your data, on two different media, one of which is external (e.g., cloud).
  • Use cloud backup services with automatic data backup across multiple locations.

3. Not Testing Backups

Blindly trusting that backups will work in an emergency without ever having performed a restore test.

Practical example: After a ransomware attack, a company discovers that the backup is unusable because the data was stored incorrectly. Also common: important data wasn't included in the backup because it wasn't selected during setup.

Solution:

  • Schedule regular restore tests, at least quarterly. If you lack the capacity in-house, use a managed service that handles everything for you.
  • Verify that data can be fully and correctly restored.
  • Document the testing process for future analysis.

4. No Backup Encryption

Unencrypted backups can be easily compromised in case of theft or cyber attacks.

Practical example: A hospital falls victim to an attack where attackers stole and published unencrypted backup data.

Solution:

5. Using Outdated Backup Methods

Tape backups or other outdated technologies continue to be used despite being inefficient and error-prone.

Practical example: A manufacturing company needed three days to restore data from old tapes, resulting in production downtimes causing millions in financial damage.

Solution:

  • Modernize your backup systems and use hybrid solutions (local + cloud).
  • Regularly check if the methods used meet current requirements.

6. Planning Too Little Storage Space

Backups fail because of insufficient storage space, often only noticed in emergencies.

Practical example: A photographer loses client orders because his backup system stopped storing new files without him noticing.

Solution:

  • Use scalable cloud solutions to dynamically add storage space.
  • Use reminder functions of the backup service and create storage space when needed.

7. Ignoring Legal Requirements

Backups don't meet GDPR requirements or industry-specific regulations.

Practical example: A retailer receives a heavy fine because customer data was stored unencrypted on an external server.

Solution:

  • Check the legal requirements in your industry.
  • Choose solutions that are GDPR-compliant and store your data in certified data centers.

8. Neglecting Mobile Devices

Data from smartphones, tablets, or laptops isn't integrated into the backup system.

Practical example: A sales representative loses important customer data through laptop theft because it wasn't backed up (as it was stored on the desktop).

Solution:

  • Use backup solutions that support mobile devices.
  • Implement policies for regular mobile device backup.

9. No Differentiation by Data Criticality

All data is treated equally, regardless of its importance.

Solution:

  • Classify your data: Which is critical, which is less important?
  • Back up business-critical information more frequently and with higher priority.
  • Use disaster recovery for highly critical systems.

10. Blindly Trusting IT Providers

Assuming that the provider covers all risks.

Practical example: A company loses data because the provider discontinued the cloud service without prior notice.

Solution:

  • Review the contracts and SLAs (Service Level Agreements) of your IT service provider.
  • Check the backup concept of the IT provider.
  • Maintain a local copy of your most important data.

Conclusion

Avoiding these ten mistakes can determine the success or failure of your backup strategy. With proper planning, modern technologies, and regular review, your data remains secure and accessible - even in emergencies.

Do you have questions or want to improve your backup strategy? Contact us for individual consultation!